About SCMIA

Symbiosis Center for Medical Image Analysis

In recent years there has been an increased thrust to understand and quantify the complex information
conveyed by medical images. Developing modern computational techniques that offer the potential for
extracting diverse and complex information from imaging data and applying these to a plethora of clinical
studies is crucial. These techniques not only support precise quantification but also overcome the
limitations of subjective visual interpretation. Furthermore, these methods can facilitate finding specific
markers that relate to pathologies as well as aid in treatment planning.

Building on this background, the objectives of this center are as follows: (1) development of novel
computer-based image analysis methods and their application to a wide variety of clinical research studies
(2) Translating the techniques to the clinic thereby aiding early diagnosis and understanding of the
underlying pathology.

Currently, the center focuses on neuroimaging (MRI) and breast imaging (ultrasound). Image analysis
methodologies include volumetric analysis, diffusion MRI processing and analysis, structural and
functional connectomics, statistical learning in imaging, radiomics, population based analysis and deep
neural networks for image classification. In future, the center plans to diversify research to image
analysis of various organs and include multiple modalities in imaging.

Facilities and Equipment: Our hospital located in the building next to us will soon house a 3T MRI
scanner with a complete research agreement.